Lijie Li

Professor

Swansea University

United Kingdom

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Professor Lijie Li is a faculty member at Swansea University, UK. His research encompasses a range of areas including ionic polymer sensors, memristor technology, and deep ultraviolet photodetectors. Recent articles authored by Professor Li delve into the thermal transport properties of heterostructures and the application of machine learning in material science. He is recognized for his contributions to the understanding of resistive switching devices and the development of novel sensing methodologies.

Articles (20)

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2025

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2023

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2023

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2023

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2023

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2023

Collaborators (1)

Matthew Burton

Swansea University

UNITED KINGDOM

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Lijie Li

Research Interests

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About

Articles (20)

Ionic liquid-enhanced Nafion-based ionic polymer sensors: Impact of immersion temperature and imidazolium types

Gallium Oxide Memristors: A Review of Resistive Switching Devices and Emerging Applications

Photocurrent dynamics and carrier transport of amorphous-Ga2O3 metal–semiconductor–metal deep ultraviolet photodetectors

In-depth insights into crystal orientation and temperature dependence of interfacial thermal transport in diamond/SiC heterostructures by machine learning molecular dynamics

Theoretical predictions of beryllium-vacancy color centers in diamond

A Review of Ga₂O₃ Heterojunctions for Deep‐UV Photodetection: Current Progress, Methodologies, and Challenges

A Direct Measurement of the C2H2 Concentration from the C2H2–Oil Mixed Solution Using the Photoacoustic Spectroscopy Method

G-Pre: A Graph-Theory-Based Matrix Preconditioning Algorithm for Finite Element Simulation Solutions

Heat transport exploration through the GaN/diamond interfaces using machine learning potential

A capacitance-coupled Ga2O3 memristor

Performance comparison of 2D nickel phosphate nanoparticles prepared via sonochemical and microwave-assisted hydrothermal routes for supercapattery

Modulating electronic properties of β-Ga2O3 by strain engineering

Prediction and identification of nonlinear dynamical systems using machine learning approaches

Polarization-driven High Rabi Frequency of Piezotronic Valley Transistors

Ultralow Thermal Conductivity Achieved by All Carbon Nanocomposites for Thermoelectric Applications

High-performance Ionic Polymer Actuators with Triple-layered Multifunctional Electrodes

Strain and Pressure Sensors Based on MWCNT/PDMS for Human Motion/Perception Detection

Density functional theory simulation of nitrogen-vacancy center in diamond as quantum sensor for neutrino mass detection

Inverse design of electromagnetic devices using topological derivative method

AlN/diamond interface nanoengineering for reducing thermal boundary resistance by molecular dynamics simulations

Collaborators (1)

Matthew Burton

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